Conceptualizing community data governance for race-related, population data: a scoping review and key informant interviews

Main Article Content

Elise Leong-Sit
Laura Ferreira-Legere
Sabella Yussuf-Homenauth
Astrid Guttmann
Baiju R Shah
Michael J Schull
Sujitha Ratnasingham
J Michael Paterson

Abstract

Objective
There is growing recognition of the importance of community data governance to build accountability of research institutions to communities. Our organization, a steward of health and administrative population-level data, has previously implemented community governance structures for Indigenous data. This scoping initiative explores development and implementation of an additional community governance structure for race-related data.


Approach
We conducted a scoping review of peer-reviewed and grey literature to identify existing practices of community data governance. We also conducted key informant interviews with thirteen racialized community stakeholders, who addressed open-ended questions on potential co-design processes as well as governance mandates, scopes, barriers, and facilitators.


Results
The scoping review identified eight community data governance examples. Two of these pertained to race-related data, while the remaining six pertained to other data that identified “community” geographically, by disease condition, life stage, and/or economic circumstance. Governance structures were diverse, ranging from one-time crowd-design of a data-sharing agreement to quarterly meetings of a governing board to review project-level data requests. Key informant interviews provided four themes to guide implementation in the context of our organization: exploring organizational readiness, considering who should be involved, defining the scope and mandate, and drafting an approach and process.


Conclusion
We are committed to implementing a community governance structure for race-related, population-level data. However, there are limited examples of similar structures in the existing literature.


Implications
The identified examples and the advice of community stakeholders will guide co-design of a preliminary structure, scope, and mandate for community governance of race-related, population-level data.

Article Details

How to Cite
Leong-Sit, E., Ferreira-Legere, L., Yussuf-Homenauth, S., Guttmann, A., Shah, B. R., Schull, M. J., Ratnasingham, S. and Paterson, J. M. (2024) “Conceptualizing community data governance for race-related, population data: a scoping review and key informant interviews”, International Journal of Population Data Science, 9(5). doi: 10.23889/ijpds.v9i5.2666.

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